{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Matplotlib图鉴——漏斗图\n",
    "\n",
    "## 公众号：可视化图鉴"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3.3.3\n",
      "1.1.5\n",
      "1.19.5\n"
     ]
    }
   ],
   "source": [
    "import matplotlib\n",
    "print(matplotlib.__version__) #查看Matplotlib版本\n",
    "import pandas as pd\n",
    "print(pd.__version__) #查看pandas版本\n",
    "import numpy as np\n",
    "print(np.__version__) #查看numpy版本\n",
    "import matplotlib.pyplot as plt \n",
    "plt.rcParams['font.sans-serif'] = ['STHeiti']  #设置中文"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "注意，代码在以下环境全部通过测试:\n",
    "- Python 3.7.1\n",
    "- Matplotlib == 3.3.2\n",
    "- pandas == 1.2.0\n",
    "- numpy == 1.19.2\n",
    "\n",
    "因版本不同，可能会有部分语法差异，如有报错，请先检查拼写及版本是否一致！"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 基础漏斗图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.patches import Circle\n",
    "from matplotlib.offsetbox import (TextArea, DrawingArea, OffsetImage,\n",
    "                                  AnnotationBbox)\n",
    "from matplotlib.cbook import get_sample_data\n",
    "\n",
    "N = 5\n",
    "width = 0.5\n",
    "x1 = np.array([1000, 600, 300, 150, 50])\n",
    "x2= np.array((x1.max()-x1)/2) \n",
    "x3=[]\n",
    "for i,j in zip(x1,x2):\n",
    "    x3.append(i+j)\n",
    "x3 = np.array(x3)\n",
    "\n",
    "\n",
    "y = -np.sort(-np.arange(N)) \n",
    "labels=['通过简历','通过笔试','通过一面','通过二面','入职']\n",
    "\n",
    "fig = plt.figure(figsize=(12,8))\n",
    "ax = fig.add_subplot(111)\n",
    "\n",
    "ax.barh(y,x3,width,tick_label=labels,color=['#BCEE68','#FFF68F','#FFC1C1','#C6E2FF','#AB82FF'],alpha=0.85)\n",
    "ax.plot(x3,y,'grey',alpha=0.7)\n",
    "ax.barh(y,x2,width,color='w',alpha = 1)\n",
    "ax.plot(x2,y,'grey',alpha=0.7)\n",
    "\n",
    "transform = []       \n",
    "for i in range(0,len(x1)):\n",
    "    if i < len(x1)-1:\n",
    "        transform.append('%.2f%%'%((x1[i+1]/x1[i])*100))\n",
    "l = [(500,3),(500,2),(500, 1),(500, 0)]\n",
    "for a,b in zip(transform,l):\n",
    "    offsetbox = TextArea(a, minimumdescent=False)\n",
    "    ab = AnnotationBbox(offsetbox, b,\n",
    "                        xybox=(0, 40),\n",
    "                        boxcoords=\"offset points\",\n",
    "                        arrowprops=dict(arrowstyle=\"->\"))\n",
    "    ax.add_artist(ab)\n",
    "    \n",
    "\n",
    "ax.set_xticks([0,1000])\n",
    "ax.set_yticks(y)\n",
    "\n",
    "plt.xlabel(\"通过人数\", fontsize = 20)\n",
    "plt.ylabel(\"新人入职流程\", fontsize = 20)\n",
    "plt.title('某公司新人入职流程人数统计漏斗图', fontsize = 20)\n",
    "plt.tick_params(labelsize=13)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
